Triple
T68021
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Library of Congress |
E1356
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | LOC |
E1356
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: LOC | Statement: [Library of Congress, abbreviation, LOC]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LOC Context triple: [Library of Congress, abbreviation, LOC]
-
A.
LOC
chosen
LOC is the commonly used abbreviation for the Library of Congress, the national library of the United States and one of the largest libraries in the world.
-
B.
DL
DL is the two-letter IATA airline designator used to identify Delta Air Lines on tickets, schedules, and flight information.
-
C.
Lee
Lee is a given name shared by numerous individuals across different cultures and professions.
-
D.
A Loop
A Loop is a modern streetcar route in Portland, Oregon, that provides circulator service through the central city and adjacent neighborhoods as part of the Portland Streetcar system.
-
E.
El
El is the common nickname for Philadelphia’s elevated Market–Frankford rapid transit line operated by SEPTA.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69a24c06b3bc8190aa4ac89026115efc |
completed | Feb. 28, 2026, 1:59 a.m. |
| NER | Named-entity recognition | batch_69a24f0333dc8190a29d28cbf6e4e813 |
completed | Feb. 28, 2026, 2:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a2554da8848190a445b503d98769aa |
completed | Feb. 28, 2026, 2:39 a.m. |
Created at: Feb. 28, 2026, 2:03 a.m.